{"id":"W4403135033","doi":"10.1080/14789450.2024.2413107","title":"Digitalomics – digital transformation leading to omics insights","year":2024,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Terry Fox Research Institute","keywords":"Computational biology; Omics; Transformation (genetics); Biology; Data science; Computer science; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002016346,0.0006869924,0.001821419,0.0001751405,0.00005370224,0.0001400149,0.0006186685,0.0004735812,0.000005206563],"category_scores_gemma":[0.000140621,0.0005428936,0.001139489,0.0003586038,0.00007112248,0.00002684056,0.0001457519,0.0003241619,0.0001349756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036009,"about_ca_system_score_gemma":0.0003818597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000308991,"about_ca_topic_score_gemma":0.000002988859,"domain_scores_codex":[0.9973164,0.00006106897,0.001373309,0.0006604273,0.0002504648,0.0003383325],"domain_scores_gemma":[0.99868,0.00001799661,0.0003261521,0.0006714981,0.0001269596,0.0001773949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002567606,0.0001029085,2.087496e-7,0.1700356,0.0003079709,0.000005024682,0.0002201981,0.000001399977,0.002847986,0.0002488838,0.005517678,0.8206864],"study_design_scores_gemma":[0.00009249686,0.0002179855,1.207863e-8,0.0696483,0.0002736319,0.00003906411,0.000009459798,0.000004283243,0.002006268,0.00003019365,0.9271119,0.0005664006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003218795,0.9878662,0.007176318,0.00005954925,0.000648141,0.002656124,0.0002830978,0.0000365195,0.001241818],"genre_scores_gemma":[0.00002304072,0.9932706,0.003138032,0.0003905287,0.0005741967,0.0003081388,0.001829857,0.0001581528,0.0003074193],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9215942,"threshold_uncertainty_score":0.9997023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951359085246963,"score_gpt":0.3363787500503206,"score_spread":0.306865159197851,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}